Triple

T10538591
Position Surface form Disambiguated ID Type / Status
Subject Orekhovo E248635 entity
Predicate adjacentStationOnLine P41425 FINISHED
Object Domodedovskaya E222040 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Domodedovskaya | Statement: [Orekhovo, adjacentStationOnLine, Domodedovskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domodedovskaya
Context triple: [Orekhovo, adjacentStationOnLine, Domodedovskaya]
  • A. Domodedovskaya chosen
    Domodedovskaya is a Moscow Metro station serving the southern part of the city and providing access toward Domodedovo International Airport.
  • B. YadVashem
    Yad Vashem is Israel’s official memorial and research center dedicated to documenting, studying, and commemorating the Holocaust and its victims.
  • C. Tsarskaya Tower
    Tsarskaya Tower is a small historic tower of the Moscow Kremlin, notable for its decorative design and association with the tsars’ ceremonial appearances.
  • D. Kotel
    Kotel is a small historic town in eastern Bulgaria known for its role in the Bulgarian National Revival and its well-preserved traditional architecture.
  • E. Mount Herzl
    Mount Herzl is Israel’s national cemetery and a central memorial site in Jerusalem, serving as the burial place of prominent leaders and fallen soldiers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5730d88190b266a940faf53f65 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e5b827881909e87651a88976f18 completed April 10, 2026, 2:51 p.m.
Created at: April 6, 2026, 12:31 p.m.